Students

Outreach

Public Engagement

Research

For Employers

Students

Outreach

Public Engagement

Research

For Employers

Welcome

Welcome!

Welcome!

Welcome to SEPnet, the South East Physics Network. We are a network of universities in the South East of England, working together to broaden the horizons of physics and physicists.

Welcome to SEPnet, the South East Physics Network. We are a network of universities in the South East of England, working together to broaden the horizons of physics and physicists.

Meet the people who are bringing SEPnet to life, discover more about our impressive reputation and study opportunities, and engage with our innovative programmes that bring the excitement of physics to students, provide practical support for teachers, and develop skilled graduates who will meet the needs of employers.

Meet the people who are bringing SEPnet to life, discover more about our impressive reputation and study opportunities, and engage with our innovative programmes that bring the excitement of physics to students, provide practical support for teachers, and develop skilled graduates who will meet the needs of employers.

Explore more about how we’re leading the way with high quality research, the largest physics PhD training programme in England, scores of undergraduate placements, and outreach activities, all of which are informed by the needs of employers for skilled physics graduates.

Explore more about how we’re leading the way with high quality research, the largest physics PhD training programme in England, scores of undergraduate placements, and outreach activities, all of which are informed by the needs of employers for skilled physics graduates.

FAQs

I’m interested in SEPnet and would like to find out more. Who can I contact?

I’d like to find a physicist to speak at our event or comment on a news story.

What resources are available for teachers?

Can we have an event at our school?

I’m an employer. Can I get involved in SEPnet?

We’d like to host a physics student over the summer. How do we get involved with the bursary scheme?

I’m interested in SEPnet and would like to find out more. Who can I contact?

I’d like to find a physicist to speak at our event or comment on a news story.

What resources are available for teachers?

Can we have an event at our school?

I’m an employer. Can I get involved in SEPnet?

We’d like to host a physics student over the summer. How do we get involved with the bursary scheme?

I’m interested in SEPnet and would like to find out more. Who can I contact?

I’d like to find a physicist to speak at our event or comment on a news story.

What resources are available for teachers?

Can we have an event at our school?

I’m an employer. Can I get involved in SEPnet?

We’d like to host a physics student over the summer. How do we get involved with the bursary scheme?

20 November 2024

SEPnet Summer Student Placement EXPO 2024

Claire

Hepwood

RHUL student explaining their poster to a fellow student
RHUL student explaining their poster to a fellow student

Over 140 students, academics and employers attended this years SEPnet summer placement expo. There were over 80 Posters, an Employer Career Panel and a NanoScience talk by Harriet van der Vliet, a Royal Holloway Alumna. Harriet sharing her passion for the physics of refrigeration and how opportunities shaped her career and her in her current role as Product Manager at Oxford Instruments NanoScience. We were all so very proud of the students for securing their placements, but also the enthusiasm they showed when explaining their projects. It was great to see the breadth of opportunities on offer this year. The SEPnet placement scheme keeps going from strength to strength, with over 90 summer placements.

20 November 2024

GRADnet Machine Learning & AI Workshop 20 November 2024

Cristobel

Soares

The GRADnet Machine Learning and AI Workshop took place on Wednesday, 20 November for SEPnet postgraduate and postdoctoral researchers at ISH Venues in London. 

Delegates were given short lectures on the landscape of machine learning and the different types of algorithms and looked at the interplay between industry and experimental particle physics development of algorithms and their use of them. Through the day students learned details about supervised learning, random forests, decision trees and Neutral Networks.

The online tutorials using Google Collab introduced random forest, decision tress and NN. Students developed a simple NN algorithm using Scikit;  learned to analyse proton proton collision data from the ATLAS experiment at the LHC to try to find a very rare event (Dark Matter).

The discussion sessions looked at various and more broad areas of ML, discussing how they are used in physics and in industry, the differences, the drawbacks and ethical issues, what types of algorithms are best for what types of problems.

Thank you to our presenters Dr Thomas Stevenson; Ms Caley Yardley and Ms Zoe Earnshaw, University of Sussex/DISCnet.

Attendees found the training really useful and enjoyed the hands-on element.